Update app.py

app.py

@@ -84,13 +84,18 @@ def predict_return(selected_products, total_customer_purchases, total_customer_r
     except requests.exceptions.RequestException as e:
         return f"Error: {str(e)}"
 
-# Gradio interface elements
+# Crea l'interfaccia Gradio con le checkbox a sinistra
+checkbox_choices = [
+    f"{row['Item Brand Model']}-{row['Item Brand Fabric']}-{row['Item Brand Colour']} - "
+    f"Type: {row['Product Type']} - Material: {row['Main Material']} - Sales: {row['Net Sales (FA)']} USD"
+    for _, row in inventory.iterrows()
+]
+
 interface = gr.Interface(
     fn=predict_return,  # Funzione per la logica di predizione
     inputs=[
         gr.CheckboxGroup(
-            choices=[f"{row['Item Brand Model']}-{row['Item Brand Fabric']}-{row['Item Brand Colour']} {row['Net Sales (FA)']}" 
-                     for _, row in inventory.iterrows()], 
+            choices=checkbox_choices,  # Mostra le informazioni dettagliate accanto ai codici
             label="Select Products"
         ),
         gr.Slider(0, 10, step=1, label="Total Customer Purchases", value=0),
@@ -104,4 +109,4 @@ interface = gr.Interface(
 )
 
 # Lancio dell'interfaccia Gradio
-interface.launch()
+interface.launch()